Parents (Total: 4)

The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	1233072
MD5	1D11771EA585A8C551936C38CE8B8ADC
PackageDescription	documentation for the Pyevolve genetic algorithm framework Pyevolve was developed to be a complete genetic algorithm framework written in pure Python. It provides an easy-to-use API, implementing the most common features of GA, including various selectors and scaling schemes. It is also easily extendable, allowing users to create new representations and genetic operators. Various methods of interactive and non-interactive visualization are supported. . This package contains the documentation for Pyevolve in HTML form, and some examples.
PackageMaintainer	Christian Kastner <ckk@debian.org>
PackageName	python-pyevolve-doc
PackageSection	doc
PackageVersion	0.6~rc1+svn398+dfsg-9
SHA-1	CB38F83A66525794BEC2E2C107DFCB2EB8D5F6A4
SHA-256	6DA1E21AE8A6E78E1E428A0048DF9C1266A51E1F1CB6717C28A657E855C8ECD0

Key	Value
FileSize	1236776
MD5	820EEC386BD8DE8F31E5424EB36BE5CF
PackageDescription	Documentation for the Pyevolve genetic algorithm framework Pyevolve was developed to be a complete genetic algorithm framework written in pure Python. It provides an easy-to-use API, implementing the most common features of GA, including various selectors and scaling schemes. It is also easily extendable, allowing users to create new representations and genetic operators. Various methods of interactive and non-interactive visualization are supported. . This package contains the documentation for Pyevolve in HTML form, and some examples.
PackageMaintainer	Christian Kastner <debian@kvr.at>
PackageName	python-pyevolve-doc
PackageSection	doc
PackageVersion	0.6~rc1+svn398+dfsg-6
SHA-1	E6CCAB6AA3791E3D7B022DFE89A6240D9596FDD9
SHA-256	2BB4FE9D04256EF7B83940E3EC0BE6A4FE834CE9D3FED907D8578E733D7F0136

Key	Value
FileSize	1236580
MD5	7B5834C2584A00DD0B3D47C70630928F
PackageDescription	documentation for the Pyevolve genetic algorithm framework Pyevolve was developed to be a complete genetic algorithm framework written in pure Python. It provides an easy-to-use API, implementing the most common features of GA, including various selectors and scaling schemes. It is also easily extendable, allowing users to create new representations and genetic operators. Various methods of interactive and non-interactive visualization are supported. . This package contains the documentation for Pyevolve in HTML form, and some examples.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-pyevolve-doc
PackageSection	doc
PackageVersion	0.6~rc1+svn398+dfsg-9
SHA-1	083857A1D71BCB1F587A937DF04EE0A82BA567FD
SHA-256	04C5E47A04B419FAE50DD43DFBC643F0895BC7A2E19D6BF897F504FB664B7685

Key	Value
FileSize	1239068
MD5	CA488C014294B6B85E7483D7B979A738
PackageDescription	documentation for the Pyevolve genetic algorithm framework Pyevolve was developed to be a complete genetic algorithm framework written in pure Python. It provides an easy-to-use API, implementing the most common features of GA, including various selectors and scaling schemes. It is also easily extendable, allowing users to create new representations and genetic operators. Various methods of interactive and non-interactive visualization are supported. . This package contains the documentation for Pyevolve in HTML form, and some examples.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-pyevolve-doc
PackageSection	doc
PackageVersion	0.6~rc1+svn398+dfsg-7
SHA-1	FB45CC4EFC4DE8AD10748379B1A1C32921C523B4
SHA-256	D81762B5BE7D6298DEC2CF74941E556869E81C70FA44E7C62D5462BB9E393688